SixSigma (version 0.9-2)

ss.cc: Control Charts

Description

Plot control charts

Usage

ss.cc(type, data, cdata, CTQ = names(data)[1], groups, climits, nsigmas = 3)

Arguments

type

Type of chart (see details)

data

data.frame with the process data.

cdata

Vector with the controlled process data to compute limits.

CTQ

Name of the column in the data.frame containing the CTQ.

groups

Name of the column in the data.frame containing the groups.

climits

Limits of the controlled process. It should contain three ordered values: lower limit, center line and upper limit.

nsigmas

Number of sigmas to compute the limits from the center line (default is 3)

Value

• A plot with the control chart, and a list with the following elements:
• LCL
  Lower Control Limit
• CL
  Center Line
• UCL
  Upper Control Limit
• phase
  II when cdata or climits are provided. I otherwise.
• out
  Out of control points

Details

If control limits are provided, cdata is dismissed and a message is shown. If there are no control limits nor controlled data, the limits are computed using data. Supported types of control charts:

• mr

{Moving Range}

References

Cano, Emilio L., Moguerza, Javier M. and Redchuk, Andres. 2012. Six Sigma with {R}. Statistical Engineering for Process Improvement, Use R!, vol. 36. Springer, New York. http://www.springer.com/statistics/book/978-1-4614-3651-5.

See Also

ss.cc.constants

Examples

ss.cc("mr", ss.data.pb1, CTQ = "pb.humidity")
testout <- ss.data.pb1
testout[31,] <- list(31,17)
ss.cc("mr", testout, CTQ = "pb.humidity")